




"""simple docstring"""




import argparse
import os
import re

import packaging.version


lowerCAmelCase				:     Optional[Any]					=				"""examples/"""
lowerCAmelCase				:     Optional[Any]					=				{
    """examples""": (re.compile(r"""^check_min_version\(\"[^\"]+\"\)\s*$""", re.MULTILINE), """check_min_version(\"VERSION\")\n"""),
    """init""": (re.compile(r"""^__version__\s+=\s+\"([^\"]+)\"\s*$""", re.MULTILINE), """__version__ = \"VERSION\"\n"""),
    """setup""": (re.compile(r"""^(\s*)version\s*=\s*\"[^\"]+\",""", re.MULTILINE), r"""\1version=\"VERSION\","""),
    """doc""": (re.compile(r"""^(\s*)release\s*=\s*\"[^\"]+\"$""", re.MULTILINE), """release = \"VERSION\"\n"""),
}
lowerCAmelCase				:     Tuple					=				{
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
lowerCAmelCase				:     int					=				"""README.md"""



def        a__					(							snake_case__			,					snake_case__			,					snake_case__							)		->   Tuple:
			with open(snake_case__			,					"""r"""			,					encoding="""utf-8"""			,					newline="""\n"""							) as f:
						lowerCamelCase      =   f.read()
			lowerCamelCase ,  lowerCamelCase      =   REPLACE_PATTERNS[pattern]
			lowerCamelCase      =   replace.replace("""VERSION"""			,					snake_case__							)
			lowerCamelCase      =   re_pattern.sub(snake_case__			,					snake_case__							)
			with open(snake_case__			,					"""w"""			,					encoding="""utf-8"""			,					newline="""\n"""							) as f:
						f.write(snake_case__							)



def        a__					(							snake_case__							)		->   Optional[Any]:
			for folder, directories, fnames in os.walk(snake_case__							):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove("""research_projects"""							)
						if "legacy" in directories:
									directories.remove("""legacy"""							)
						for fname in fnames:
									if fname.endswith(""".py"""							):
												update_version_in_file(os.path.join(snake_case__			,					snake_case__							)			,					snake_case__			,					pattern="""examples"""							)



def        a__					(							snake_case__			,					snake_case__=False							)		->   Any:
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(snake_case__			,					snake_case__			,					snake_case__							)
			if not patch:
						update_version_in_examples(snake_case__							)



def        a__					(							)		->   List[str]:
			lowerCamelCase      =   """🤗 Transformers currently provides the following architectures"""
			lowerCamelCase      =   """1. Want to contribute a new model?"""
			with open(snake_case__			,					"""r"""			,					encoding="""utf-8"""			,					newline="""\n"""							) as f:
						lowerCamelCase      =   f.readlines()

			# Find the start of the list.
			lowerCamelCase      =   0
			while not lines[start_index].startswith(_start_prompt							):
						start_index += 1
			start_index += 1

			lowerCamelCase      =   start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt							):
						if lines[index].startswith("""1."""							):
									lowerCamelCase      =   lines[index].replace(
									    """https://huggingface.co/docs/transformers/main/model_doc"""			,					"""https://huggingface.co/docs/transformers/model_doc"""			,					)
						index += 1

			with open(snake_case__			,					"""w"""			,					encoding="""utf-8"""			,					newline="""\n"""							) as f:
						f.writelines(snake_case__							)



def        a__					(							)		->   List[Any]:
			with open(REPLACE_FILES["""init"""]			,					"""r"""							) as f:
						lowerCamelCase      =   f.read()
			lowerCamelCase      =   REPLACE_PATTERNS["""init"""][0].search(snake_case__							).groups()[0]
			return packaging.version.parse(snake_case__							)



def        a__					(							snake_case__=False							)		->   Union[str, Any]:
			lowerCamelCase      =   get_version()
			if patch and default_version.is_devrelease:
						raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""							)
			if default_version.is_devrelease:
						lowerCamelCase      =   default_version.base_version
			elif patch:
						lowerCamelCase      =   F'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
			else:
						lowerCamelCase      =   F'{default_version.major}.{default_version.minor + 1}.0'

			# Now let's ask nicely if that's the right one.
			lowerCamelCase      =   input(F'Which version are you releasing? [{default_version}]'							)
			if len(snake_case__							) == 0:
						lowerCamelCase      =   default_version

			print(F'Updating version to {version}.'							)
			global_version_update(snake_case__			,					patch=snake_case__							)
			if not patch:
						print("""Cleaning main README, don't forget to run `make fix-copies`."""							)
						clean_main_ref_in_model_list()



def        a__					(							)		->   Optional[int]:
			lowerCamelCase      =   get_version()
			lowerCamelCase      =   F'{current_version.major}.{current_version.minor + 1}.0.dev0'
			lowerCamelCase      =   current_version.base_version

			# Check with the user we got that right.
			lowerCamelCase      =   input(F'Which version are we developing now? [{dev_version}]'							)
			if len(snake_case__							) == 0:
						lowerCamelCase      =   dev_version

			print(F'Updating version to {version}.'							)
			global_version_update(snake_case__							)
			print("""Cleaning main README, don't forget to run `make fix-copies`."""							)
			clean_main_ref_in_model_list()


if __name__ == "__main__":
					lowerCAmelCase				:     List[Any]					=				argparse.ArgumentParser()
					parser.add_argument("""--post_release""", action="""store_true""", help="""Whether this is pre or post release.""")
					parser.add_argument("""--patch""", action="""store_true""", help="""Whether or not this is a patch release.""")
					lowerCAmelCase				:     Tuple					=				parser.parse_args()
					if not args.post_release:
										pre_release_work(patch=args.patch)
					elif args.patch:
										print("""Nothing to do after a patch :-)""")
					else:
										post_release_work()









"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCAmelCase				:     Optional[int]					=				{"""configuration_swin""": ["""SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SwinConfig""", """SwinOnnxConfig"""]}


try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase				:     int					=				[
					    """SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """SwinForImageClassification""",
					    """SwinForMaskedImageModeling""",
					    """SwinModel""",
					    """SwinPreTrainedModel""",
					    """SwinBackbone""",
					]

try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase				:     str					=				[
					    """TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """TFSwinForImageClassification""",
					    """TFSwinForMaskedImageModeling""",
					    """TFSwinModel""",
					    """TFSwinPreTrainedModel""",
					]

if TYPE_CHECKING:
					from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_swin import (
										    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SwinBackbone,
										    SwinForImageClassification,
										    SwinForMaskedImageModeling,
										    SwinModel,
										    SwinPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_swin import (
										    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    TFSwinForImageClassification,
										    TFSwinForMaskedImageModeling,
										    TFSwinModel,
										    TFSwinPreTrainedModel,
										)

else:
					import sys

					lowerCAmelCase				:     int					=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



